Nugraha, Joanna Ardhyanti Mita (2019) Drug Inventory Grouping using Clustering Data Mining. Indonesian Journal of Information Systems (IJIS), 2 (1). pp. 1-12. ISSN 2614-7173

Abstract

One of the main factors in health services is adequate drug supplies. Puskesmas is one of the health services that is managed under the district and city health offices to serve patients every day. However, there are obstacles in the process of drug supply at the Puskesmas. Puskesmas still use drug supply techniques manually by looking at the minimum drug stock. In this way, many drugs are unused and even lacking. The application of data mining can be used as an analysis to determine the drug supply according to the patient's needs. In the data mining method, the clustering algorithm is one of the most popular to use where the data belonging to the same cluster will be close to each other and will be far from
the data about another cluster. The results obtained in the form of information on the type of drug with rapid use and model of drug with extended usage every month taken from 3 years of data. Also, information on the types of drugs from the clustering process can be used to
improve better patient service.

Item Type:	Article
Uncontrolled Keywords:	Data mining; clustering; K-means algorithm; stock; drug
Subjects:	Teknik Informatika > Enterprise Inf System
Divisions:	Fakultas Teknologi Industri > Teknik Informatika
Depositing User:	Users 5931 not found.
Date Deposited:	26 Aug 2019 07:30
Last Modified:	26 Aug 2019 07:30
URI:	https://repository.uajy.ac.id/id/eprint/19734

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